{"id":3900005,"url":"https://alion.io/job/fedex-ai-engineer-iii","title":"AI Engineer III","company":{"id":4244,"name":"FedEx","domain":"fedex.com","url":"https://alion.io/company/fedex","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":9719,"max":13812,"currency":"USD","period":"month","gross":null,"usd_annual":165744},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Vertex AI","optional":false},{"name":"Vue.js","optional":false},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-06T22:31:12Z","employer_posted_date":null,"last_verified_at":"2026-11-06T22:31:12Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Federal Express Corporation is hiring an AI Engineer III to design, develop, deploy, and maintain AI and machine learning solutions across the enterprise. The role builds production-ready AI systems and pipelines, integrates models into business applications, and owns their operational readiness, monitoring, and governance.\n\nResponsibilities\nWrite clean, efficient, and well-documented code to develop and implement machine learning and AI models that support various business use cases\nImplement data engineering and preprocessing workflows required for model inputs\nContinuously optimize the performance and scalability of AI applications and models\nDesign, develop, and maintain scalable ML pipelines for model training, validation, inference, and deployment\nCollaborate with ML Ops Engineers to package and deploy models into enterprise systems using established MLOps practices\nMonitor deployed models in production for performance, data drift, and reliability, and troubleshoot and resolve any issues that arise\nEstablish and own the operational readiness of all AI services by defining and implementing Service Level Objectives (SLOs) for key metrics, such as p50/p95 latency and availability, and creating robust monitoring and alerting for model drift, latency, and error rates\nWork closely with Data Scientists to transition experimental models and research prototypes into robust, production-ready systems\nSupport the integration of AI capabilities into enterprise workflows, applications, and digital platforms\nContribute to the documentation and explainability of model outputs to ensure clarity for business stakeholders\nEnsure all deployed AI systems comply with enterprise governance, fairness, and security standards\nEvaluate emerging AI technologies, such as LLMs and generative AI, to assess their applicability to business problems and drive innovation\nEnsure AI solutions support auditability, explainability, traceability, and regulatory compliance requirements\nImplement memory management, context engineering, planning, and multi-step reasoning strategies\nDefine and track quality metrics such as groundedness, faithfulness, relevance, task completion rate, and user satisfaction\n\nSkills\nBachelor's degree in Computer Science, Data Science, Engineering, or related field is required\nNeeds 3-5+ years of dedicated experience designing and shipping ML models to production\nShould have led the design of a significant ML-powered feature\nStrong coding skills in Python, Java, or C++, including API development and software design\nDeep understanding of core machine learning concepts, including classification, regression, clustering, and deep learning architectures\nHands-on experience with modern deep learning frameworks and algorithms (supervised/unsupervised), such as PyTorch, TensorFlow, or similar for building and training complex neural networks\nSkills in working with LLMs, prompt engineering, fine-tuning, and using frameworks like LangChain and LangGraph to build RAG (Retrieval-Augmented Generation) systems\nHandling data wrangling, SQL, data warehousing, and ETL pipelines to prepare data for models\nProven experience in the end-to-end model lifecycle: developing, training, and deploying machine learning models from prototype to production\nMastery of data preprocessing, feature engineering, and model evaluation techniques to ensure robust and accurate model performance\nDemonstrated ability to build and optimize scalable data pipelines for training and evaluating machine learning models\nStrong knowledge of both SQL and NoSQL databases for querying and managing data for AI applications\nSolid foundation in software engineering best practices, including version control (Git), automated testing, and CI/CD pipelines\nHands-on experience with containerization using Docker and container orchestration with Kubernetes for scalable deployment\nExpertise in MLOps observability, including model monitoring to track performance and drift, and establishing model/version lineage, telemetry, and traceability\nExperience implementing advanced testing and deployment strategies, including canary/shadow deployments and comprehensive test suites (unit, integration, adversarial, regression)\nDemonstrated ability to integrate AI models and services into enterprise applications by building and consuming RESTful APIs\nProficiency with at least one major cloud platform (GCP, AWS, Azure) and its associated AI/ML services (e.g., Vertex AI, SageMaker, Azure ML)\nExperience with big data technologies, such as Apache Spark or similar, for processing large-scale datasets in a cloud environment\nStrong problem-solving and analytical skills, with the ability to collaborate effectively in an Agile development environment\nExcellent communication skills to articulate complex technical concepts to both technical and non-technical stakeholders\nExperience with modern frontend JavaScript frameworks such as React, Vue.js, Angular or similar for building user-facing applications that consume AI models\nMaster's\n\nBenefits\nHybrid position located in Plano, TX. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week. Candidates within 50 miles of Pittsburgh, PA or Memphis, TN may also be considered.\n\nCompany Overview\nFedEx connects people and possibilities through our worldwide portfolio of shipping, transportation, e-commerce and digital supply chain services. It was founded in undefined, and is headquartered in , with a workforce of 10001+ employees. Its website is https://careers.fedex.com/?utm_domicile=unspecified&utm_persona=unspecified&utm_trackedsource=srm_linkedin_company&utm_subco=FEC.\n\nCompany H1B Sponsorship\nFederal Express Corporation has a track record of offering H1B sponsorships, with 483 in 2026, 1101 in 2025, 208 in 2024, 15 in 2023, 27 in 2022, 21 in 2021, 25 in 2020. Please note that this does not guarantee sponsorship for this specific role.","description_format":"text","description_chars":5987,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Texas","iso":null,"kind":"city"},{"name":"Pennsylvania","iso":null,"kind":"city"},{"name":"Tennessee","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Delivery","Logistics","Courier Services"],"lifecycle":[{"event":"open","at":"2026-11-07T00:20:15Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":4,"green_card_filings_12m":0,"median_offered_wage_usd":127500,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":34,"reasons":["seen:0","velocity","win:early"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":165744,"is_top_pay":false},"html_url":"https://alion.io/job/fedex-ai-engineer-iii","json_url":"https://alion.io/job/fedex-ai-engineer-iii.json","meta":{"generated_at":"2026-11-07T14:14:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18073,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4244},"rest":"https://alion.io/mcp/rest/get_company?id=4244"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffedex-ai-engineer-iii"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffedex-ai-engineer-iii"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffedex-ai-engineer-iii"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fedex-ai-engineer-iii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffedex-ai-engineer-iii"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3900005}},{"tool":"search_jobs","arguments":{"company":"fedex.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3900005},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}